Robotics & Machine Learning Daily News2024,Issue(Jun.4) :94-94.

Researchers from University of Ottawa Report on Findings in Artificial Intellige nce (A Framework for Estimating the Matric Suction In Unsaturated Soils Using Mu ltiple Artificial Intelligence Techniques)

渥太华大学的研究人员报告了人工智能nce(一种利用多种人工智能技术估算非饱和土壤基质吸力的框架)的发现

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :94-94.

Researchers from University of Ottawa Report on Findings in Artificial Intellige nce (A Framework for Estimating the Matric Suction In Unsaturated Soils Using Mu ltiple Artificial Intelligence Techniques)

渥太华大学的研究人员报告了人工智能nce(一种利用多种人工智能技术估算非饱和土壤基质吸力的框架)的发现

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的新闻编辑-一项关于人工智能的新研究现在可用。根据NewsRx记者来自加拿大渥太华的新闻报道,研究表明:“由于缺乏快速、可靠和经济的基质吸力测量技术,非饱和土力学在岩土工程实践中的最新认识的实施受到一定的限制。基质吸力是显著影响未饱和土水力力学特性的关键应力统计变量之一。”本研究的资助机构包括中国奖学金委员会、加拿大渥太华大学、加拿大ADA(NSERC)自然科学与工程研究委员会。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news originating from Ottawa, Canada, by NewsRx correspondents, research stated, “Implementation of the state-of-the-art underst anding of the mechanics of unsaturated soils into geotechnical engineering pract ice is partly limited due to the lack of quick, reliable, and economical techniq ues for matric suction measurement. Matric suction is one of the key stress stat e variables that significantly influences the hydro-mechanical behavior of unsat urated soils.” Financial supporters for this research include China Scholarship Council, Univer sity of Ottawa, Canada, Natural Sciences and Engineering Research Council of Can ada (NSERC).

Key words

Ottawa/Canada/North and Central Americ a/Artificial Intelligence/Emerging Technologies/Machine Learning/University of Ottawa

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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